Evaluation of five methods for determining low-density lipoprotein cholesterol (LDL-C) in hemodialysis patients(1)

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dc.contributor.authorBairaktari, E.en
dc.contributor.authorElisaf, M. S.en
dc.contributor.authorTzallas, C.en
dc.contributor.authorKarabina, S. A.en
dc.contributor.authorTselepis, A. D.en
dc.contributor.authorSiamopoulos, K. C.en
dc.contributor.authorTsolas, O.en
dc.date.accessioned2015-11-24T19:17:48Z
dc.date.available2015-11-24T19:17:48Z
dc.identifier.issn0009-9120-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/21813
dc.rightsDefault Licence-
dc.subjectApolipoproteins B/*blooden
dc.subjectBias (Epidemiology)en
dc.subjectCholesterol/blooden
dc.subjectCholesterol, HDL/*blooden
dc.subjectCholesterol, LDL/*blooden
dc.subjectHumansen
dc.subjectLinear Modelsen
dc.subjectPredictive Value of Testsen
dc.subjectReagent Kits, Diagnosticen
dc.subjectRenal Dialysisen
dc.subjectRenal Insufficiency/*blooden
dc.subjectReproducibility of Resultsen
dc.subjectSensitivity and Specificityen
dc.subjectTriglycerides/blooden
dc.titleEvaluation of five methods for determining low-density lipoprotein cholesterol (LDL-C) in hemodialysis patients(1)en
heal.abstractOBJECTIVES: Current recommendations for the management of dyslipidemia are largely based on the concentration of LDL-C. Most clinical laboratories estimate the concentration of LDL-C by the recommended routine method, the equation of Friedewald, in specimens from fasting subjects and with TG concentrations < 4.52 mmol/L. Because of the limitations of the Friedewald calculation, direct methods for an accurate quantification of LDL-C are needed. DESIGN AND METHODS: In the present study we evaluated the accuracy of the following 5 different procedures for LDL-C in 98 patients on hemodialysis: the Friedewald equation, where LDL-C is calculated from HDL-C, measured either by the precipitation procedure with dextran sulfate-Mg(2+) (Method 1), or by a direct HDL-C assay (Method 2), the Direct LDL assay (Method 3), the homogeneous N-geneous LDL assay (Method 4) and the calculated LDL-C values deriving from the ApoB based equation: 0.41TC - 0.32TG + 1.70ApoB - 0.27, (Clin Chem 1997;43:808-815) (Method 5). RESULTS: All five LDL-C methods were found to be in good agreement with ultracentrifugation/dextran sulfate-Mg(2+) precipitation with the coefficients of correlation of the assays to ranging between 0.93-0.95. However, significant differences in the mean values and biases vs. the reference method were observed. The Friedewald equation and the Direct assay were less affected by high LDL-C levels, and they presented higher sensitivity and higher negative predictive value. The N-geneous assay and the ApoB derived calculation were less affected by high triglyceride levels, and they presented higher specificity and higher positive predictive value. At the diagnostic LDL-C level of 3.37 mmol/L, both Friedewald calculations correctly classified 82/92 patients; Direct assay 86/98; N-geneous assay 88/98; and ApoB derived calculation 88/98. At the diagnostic LDL-C level of 2.98 mmol/L, Friedewald calculations (Method 1 and Method 2) correctly classified 82/92 and 81/92 patients, respectively; Direct assay (LDL-3) 87/98; N-geneous assay (LDL-4) 91/98; and ApoB derived calculation (LDL-5) 91/98. CONCLUSIONS: Among hemodialysis patients, who commonly present "average" LDL-C concentrations and high TG levels, the N-geneous assay and the apoB derived calculation seem to yield more acceptable results for the estimation of LDL-C.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/11849617-
heal.identifier.secondaryhttp://ac.els-cdn.com/S0009912001002740/1-s2.0-S0009912001002740-main.pdf?_tid=49eda556a5bea307d511ae394ac3e7c5&acdnat=1333528454_92d7a043792f4f84bd89614927a73ecd-
heal.journalNameClin Biochemen
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2001-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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